Data for 2017
Gender Inequality Index, 2017
2017, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2017 covers 163 countries. Yemen is highest, at 0.825; Norway is lowest, at 0.023. The middle country reads 0.361. Against 2016, 154 values changed (32 up, 122 down), 1 country joined.
Gender Inequality Index · Data for 2017
HighestYemen
0.825LowestNorway
0.023Shaded by value in five groups of equal size, darkest at the lowest end.
01UNDP Human Development Report Office’s rank
The table
Every country and every column of Gender Inequality Index, 2017, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 163 countries · select a heading to sort
| 1 | NORNorthern Europe | 0.023 |
| 2 | DNKNorthern Europe | 0.027 |
| 3 | NLDWestern Europe | 0.029 |
| =4 | SWENorthern Europe | 0.034 |
| =4 | CHEWestern Europe | 0.034 |
| 6 | FINNorthern Europe | 0.044 |
| 7 | SGPSouth-eastern Asia | 0.049 |
| 8 | SVNSouthern Europe | 0.053 |
| =9 | ISLNorthern Europe | 0.054 |
| =9 | KOREastern Asia | 0.054 |
| 11 | BELWestern Europe | 0.056 |
| 12 | LUXWestern Europe | 0.058 |
| 13 | ESPSouthern Europe | 0.067 |
| 14 | ITASouthern Europe | 0.069 |
| 15 | AUTWestern Europe | 0.071 |
| 16 | FRAWestern Europe | 0.072 |
| 17 | PRTSouthern Europe | 0.083 |
| 18 | DEUWestern Europe | 0.085 |
| 19 | IRLNorthern Europe | 0.087 |
| 20 | AUSAustralia and New Zealand | 0.094 |
| =21 | CANNorthern America | 0.096 |
| =21 | ISRWestern Asia | 0.096 |
| =21 | JPNEastern Asia | 0.096 |
| 24 | AREWestern Asia | 0.101 |
| 25 | ESTNorthern Europe | 0.105 |
| 26 | BLREastern Europe | 0.109 |
| 27 | NZLAustralia and New Zealand | 0.110 |
| 28 | GBRNorthern Europe | 0.116 |
| 29 | MNESouthern Europe | 0.122 |
| 30 | POLEastern Europe | 0.125 |
| 31 | HRVSouthern Europe | 0.130 |
| 32 | GRCSouthern Europe | 0.132 |
| =33 | CZEEastern Europe | 0.134 |
| =33 | LTUNorthern Europe | 0.134 |
| 35 | SRBSouthern Europe | 0.139 |
| 36 | ALBSouthern Europe | 0.145 |
| 37 | MKDSouthern Europe | 0.151 |
| 38 | BIHSouthern Europe | 0.167 |
| 39 | QATWestern Asia | 0.175 |
| 40 | RUSEastern Europe | 0.179 |
| 41 | CHNEastern Asia | 0.181 |
| 42 | MLTSouthern Europe | 0.187 |
| 43 | SVKEastern Europe | 0.194 |
| 44 | KAZCentral Asia | 0.198 |
| 45 | BGREastern Europe | 0.207 |
| 46 | USANorthern America | 0.210 |
| =47 | CYPWestern Asia | 0.212 |
| =47 | MYSSouth-eastern Asia | 0.212 |
| =49 | LVANorthern Europe | 0.215 |
| =49 | MDAEastern Europe | 0.215 |
| 51 | BHRWestern Asia | 0.235 |
| 52 | TUNNorthern Africa | 0.245 |
| 53 | KWTWestern Asia | 0.248 |
| 54 | CHLSouth America | 0.249 |
| 55 | ROUEastern Europe | 0.252 |
| 56 | ARMWestern Asia | 0.254 |
| =57 | HUNEastern Europe | 0.259 |
| =57 | UZBCentral Asia | 0.259 |
| =59 | LBYNorthern Africa | 0.260 |
| =59 | URYSouth America | 0.260 |
| 61 | CRICentral America | 0.273 |
| 62 | OMNWestern Asia | 0.277 |
| 63 | TTOCaribbean | 0.280 |
| 64 | BRNSouth-eastern Asia | 0.286 |
| 65 | TJKCentral Asia | 0.289 |
| 66 | GEOWestern Asia | 0.303 |
| 67 | TURWestern Asia | 0.305 |
| 68 | CUBCaribbean | 0.307 |
| 69 | SAUWestern Asia | 0.309 |
| 70 | ARGSouth America | 0.321 |
| 71 | AZEWestern Asia | 0.323 |
| =72 | FJIMelanesia | 0.325 |
| =72 | VNMSouth-eastern Asia | 0.325 |
| 74 | MDVSouthern Asia | 0.328 |
| 75 | MNGEastern Asia | 0.330 |
| 76 | BHSCaribbean | 0.333 |
| 77 | LCACaribbean | 0.338 |
| 78 | BRBCaribbean | 0.340 |
| 79 | BTNSouthern Asia | 0.347 |
| 80 | CPVWestern Africa | 0.349 |
| 81 | MUSEastern Africa | 0.360 |
| 82 | LKASouthern Asia | 0.361 |
| 83 | PERSouth America | 0.365 |
| 84 | KGZCentral Asia | 0.368 |
| 85 | SLVCentral America | 0.370 |
| 86 | MEXCentral America | 0.372 |
| 87 | ECUSouth America | 0.389 |
| 88 | PHLSouth-eastern Asia | 0.391 |
| =89 | DZANorthern Africa | 0.397 |
| =89 | JAMCaribbean | 0.397 |
| 91 | THASouth-eastern Asia | 0.400 |
| 92 | EGYNorthern Africa | 0.405 |
| 93 | ZAFSouthern Africa | 0.406 |
| 94 | RWAEastern Africa | 0.410 |
| 95 | PANCentral America | 0.412 |
| =96 | COLSouth America | 0.417 |
| =96 | SURSouth America | 0.417 |
| 98 | LBNWestern Asia | 0.418 |
| 99 | BRASouth America | 0.422 |
| 100 | NICCentral America | 0.424 |
| 101 | TONPolynesia | 0.426 |
| =102 | HNDCentral America | 0.427 |
| =102 | JORWestern Asia | 0.427 |
| 104 | BOLSouth America | 0.431 |
| 105 | TLSSouth-eastern Asia | 0.432 |
| 106 | PRYSouth America | 0.441 |
| 107 | DOMCaribbean | 0.449 |
| 108 | MARNorthern Africa | 0.450 |
| 109 | IDNSouth-eastern Asia | 0.455 |
| 110 | BWASouthern Africa | 0.459 |
| 111 | IRNSouthern Asia | 0.460 |
| 112 | NAMSouthern Africa | 0.463 |
| 113 | BLZCentral America | 0.464 |
| 114 | SYRWestern Asia | 0.483 |
| 115 | LAOSouth-eastern Asia | 0.485 |
| 116 | INDSouthern Asia | 0.488 |
| 117 | VENSouth America | 0.489 |
| 118 | STPMiddle Africa | 0.491 |
| 119 | KHMSouth-eastern Asia | 0.502 |
| 120 | BDIEastern Africa | 0.507 |
| 121 | GTMCentral America | 0.509 |
| 122 | MMRSouth-eastern Asia | 0.512 |
| 123 | MOZEastern Africa | 0.513 |
| 124 | SENWestern Africa | 0.519 |
| =125 | ETHEastern Africa | 0.520 |
| =125 | ZWEEastern Africa | 0.520 |
| 127 | SWZSouthern Africa | 0.521 |
| 128 | TZAEastern Africa | 0.523 |
| 129 | GABMiddle Africa | 0.528 |
| =130 | GHAWestern Africa | 0.534 |
| =130 | ZMBEastern Africa | 0.534 |
| 132 | UGAEastern Africa | 0.535 |
| =133 | KENEastern Africa | 0.536 |
| =133 | NPLSouthern Asia | 0.536 |
| 135 | BGDSouthern Asia | 0.541 |
| =136 | AGOMiddle Africa | 0.547 |
| =136 | DJIEastern Africa | 0.547 |
| 138 | PAKSouthern Asia | 0.559 |
| 139 | LSOSouthern Africa | 0.566 |
| =140 | CMRMiddle Africa | 0.573 |
| =140 | SLBMelanesia | 0.573 |
| 142 | SDNNorthern Africa | 0.578 |
| 143 | IRQWestern Asia | 0.579 |
| 144 | COMEastern Africa | 0.583 |
| 145 | TGOWestern Africa | 0.589 |
| 146 | MWIEastern Africa | 0.592 |
| 147 | BFAWestern Africa | 0.593 |
| 148 | GMBWestern Africa | 0.597 |
| 149 | COGMiddle Africa | 0.607 |
| 150 | MRTWestern Africa | 0.609 |
| 151 | SLEWestern Africa | 0.622 |
| 152 | CIVWestern Africa | 0.627 |
| 153 | HTICaribbean | 0.628 |
| 154 | CODMiddle Africa | 0.641 |
| 155 | LBRWestern Africa | 0.652 |
| 156 | BENWestern Africa | 0.656 |
| 157 | MLIWestern Africa | 0.664 |
| 158 | NERWestern Africa | 0.666 |
| 159 | NGAWestern Africa | 0.675 |
| 160 | AFGSouthern Asia | 0.679 |
| 161 | VUTMelanesia | 0.799 |
| 162 | PNGMelanesia | 0.820 |
| 163 | YEMWestern Asia | 0.825 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- #163
Yemen0.825
- #162
Papua New Guinea0.820
- #161
Vanuatu0.799
- #160
Afghanistan0.679
- #159
Nigeria0.675
Lowest
- #1
Norway0.023
- #2
Denmark0.027
- #3
Netherlands0.029
- #4
Swedenshared0.034
- #4
Switzerlandshared0.034
A higher value is the worse result. The middle country reads 0.361. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 154values changed, of 162 in both
- 32 · 122rose · fell
- 8unchanged
Rose most
Papua New Guinea0.596 → 0.820+0.224
Belize0.440 → 0.464+0.024
Nepal0.512 → 0.536+0.024
Iraq0.558 → 0.579+0.021
Cyprus0.196 → 0.212+0.016
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2025 release
Every year in this series comes from UNDP Human Development Report Office’s 2025 release, recalculated on one method. It can differ from what was first published for 2017.
145 distinct values among 163
Values are stored exactly as published, to 3 decimals. 3 countries share 0.096. Countries sharing a value share a position too.
The rank is UNDP Human Development Report Office’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 163 countries has every column.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
163 rows · 5.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-inequality-2017-nations-inquiry.csv - ↗
The publisher’s original
UNDP Human Development Report Office’s own file, on its own site.
HDR25_Composite_indices_complete_time_series.csv
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 3.0 IGO · what it allows, in plain words
Cite this edition
UNDP Human Development Report Office (2017). Gender Inequality Index, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2017
0634 held
Other years
‹ The year before
Gender Inequality Index, 2016162 countries
The year after ›
Gender Inequality Index, 2018167 countries
All of them
Gender Inequality Index: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Gender Inequality Index, 2017: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2017?
Yemen, at 0.825, of the 163 countries in the file.
What year does Gender Inequality Index, 2017 describe?
2017.
How many countries does Gender Inequality Index, 2017 cover?
163.
Where can I download Gender Inequality Index, 2017?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Gender Inequality Index, 2017 the newest?
No. The newest held here is Gender Inequality Index, 2023.